Modified simplified algorithm of the method of group consideration of arguments in simulation processes

There are many types and methods of simulation, but among them special attention should be paid to methods based on the theory of heuristic self-organization. All algorithms of the method of group argumentation (MGVA) are characterized by structural commonality on the principle of self-organization, which require insignificant requirements for a priori information to search for an infinite number of options. The advantage of the algorithm of the method of group consideration of arguments in comparison with other algorithms of this class is the presence of possibilities of expansion of the vector of initial data and the device for elimination of collinearity - reception of orthogonalization. MGVA consists of two blocks: pre-processing of observations taking into account the system of selected reference functions and calculation of selection applicants. As a result of the algorithm, models capable of controlling the process taking into account the phenomena accompanying a certain process are obtained. Given the commonality of the main provisions of the theory of self-organization of artificial neural networks and MGVA, the network variables are added to the model as a variable Z. As a result, we obtain a neural network that describes the physical phenomena accompanying the process. This will significantly increase the efficiency and accuracy of process management.

Planning of technical objects and systems

There are many types and methods of simulation, but among them special attention should be paid to methods based on the theory of heuristic self - organization. All algorithms of the method of group argumentation (MGVA) are characterized by structural commonality on the principle of self - organization, which require insignificant requirements for a priori information to search for an infinite number of options. The advantage of the algorithm of the method of group consideration of arguments in comparison with other algorithms of this class is the presence of possibilities of expansion of the vector of initial data and the device for elimination of collinearity - reception of orthogonalization. MGVA consists of two blocks: pre - processing of observations taking into account the system of selected reference functions and calculation of selection applicants. As a result of the algorithm, models capable of controlling the process taking into account the phenomena accompanying a certain process are obtained. Given the commonality of the main provisions of the theory of self - organization of artificial neural networks and MGVA, the network variables are added to the model as a variable Z. As a result, we obtain a neural network that describes the physical phenomena accompanying the process. This will significantly increase the efficiency and accuracy of process management.

Determination of Conditional Constants of Conductometric Sensors

The process of the calibration of flow-through conductometric sensors of electrical conductivity and their concentration in solutions of NaOH, NaCl, Na2CO3 is investigated. Two-electrode sensors in glass tubes were used, with platinum electrodes in combination with the developed resistometer. The measuring system resisto-meter-sensor KSN-19, KSN-22, and KSN-23 operates on a pulsed alternating current with a frequency of 4 kHz. The calibration dependences of the concentration-resistance sensors in the indicated solutions were measured. Three main parameters of the sensors were determined by means of special software processing of the calibration data and their comparison with precise reference functions, namely, the “sensor constant” KS, KS1, and KS3. It is shown that all characteristic parameters of sensors depend on the chemical composition of the analyzed medium and are not constants. Theoretical substantiations of the observed regularity are given.

The prophet like Moses (Dt 18:15–22): Some trajectories in the history of interpretation

This article traces some of the trajectories of the Deuteronomic announcement of a ‘prophet like Moses’. After examining its meaning in the immediate context, the article first traces references to this figure in early Jewish sources. It then examines how Jesus is portrayed as the prophet of Deuteronomy 18 in the Gospels. What is meant when people ask whether Jesus could be the prophet? Would he himself identify with this figure through word and deed? What implications would such an identification have had for his contemporaries? Why does this designation only appear rarely outside of the Gospels? A further trajectory is the quotation of Deuteronomy 18:15,19 in Acts 3:22–23. What is meant by Peter’s identification of Jesus as the prophet like Moses? What does Peter link with the acceptance and rejection of this prophet? How has Luke altered the text of Deuteronomy in the application of this prediction to Jesus? The article closes with a summary and suggests implications for the understanding of early Christian rhetoric, of Israel’s response and of prophets in today’s church and society.Intradisciplinary and/or interdisciplinary implications: This article is placed within the discipline of biblical studies and Jewish studies (for the reception history in early Judaism). An in-depth study of the reception of the Deuteronomic prophet like Moses in Acts 3, where the prediction is explicitly quoted and declared to be fulfilled in Jesus Christ, reveals how this reference functions for the Christology of Acts, its proclamation of the Gospel and its understanding of Israel. Those revering Moses must now listen to Jesus. To reject Jesus means to forfeit one’s membership in the people of God. This challenges studies which do not pay sufficient attention to this claim.

Metaheurística Inspirada no Comportamento do Corvo com Multiestratégias de Aprendizagem Baseada em Oposição

Frequently, metaheuristics algorithms are used in many scientificand engineering problems optimization. However, these metaheuristicscome across an impossibility to escape from optimal solutions.To equilibrate the balancing between exploitation and exploration,several proposals, inspired in the behavior of animalgroups, have been developed. A recent metaheuristic is Crow SearchAlgorithm (CSA). It is inspired in the intelligent behavior ofcrows. This paper presents a novel CSA variant combined withtwo strategies opposed to based-learning called Elite Opposition-Based Learning and Generalized Opposition-Based Learning. Toevaluate the performance of the proposed algorithm we executedtwo experiment groups that utilized twelve reference functions. Inthe first group, the proposal was compared to a CSA variant andother three algorithms. For the second experiment group, we comparedto other four algorithms and more one variant. After the executionof experiments, we observed that the obtained numerical resultsshowed a superiority when compared to the other algorithms.

FASS: a turbulence profiler based on a fast, low-noise camera

The measurement of the atmospheric optical turbulence with a new scintillation profiler is described and demonstrated. The instrument, FASS (Full Aperture Scintillation Sensor), uses new fast and low-noise detectors to record and process sequences of scintillation images. Statistical processing of these data is based on the calculation of power spectra of intensity in annular pupil zones over the angular coordinate. The angular power spectra are used to measure the optical turbulence intensity of 14 layers located at logarithmically-spaced distances from 0.3 km to 25 km. The reference functions relating turbulence strength to the angular power spectra are computed by numerical simulation. Measurement of the ground-later turbulence and total seeing with FASS is possible when the detector is conjugated to a negative (below ground) distance. Results of measurement campaigns at Paranal are reported, documenting a good agreement of turbulence profiles measured by FASS with two other instruments, SCIDAR and MASS.